AI RESEARCH
Named Entity Recognition of Historical Texts via Large Language Model
arXiv CS.CL
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ArXi:2508.18090v2 Announce Type: replace-cross Large language models (LLMs) have nstrated remarkable versatility across a wide range of natural language processing tasks and domains. One such task is Named Entity Recognition (NER), which involves identifying and classifying proper names in text, such as people, organizations, locations, dates, and other specific entities. NER plays a crucial role in extracting information from unstructured textual data, enabling downstream applications such as information retrieval from unstructured text.